Mal2d: 2d Based Deep Learning Model for Malware Detection Using Black and White Binary Image

Minkyoung CHO  Jik-Soo KIM  Jongho SHIN  Incheol SHIN  

IEICE TRANSACTIONS on Information and Systems   Vol.E103-D   No.4   pp.896-900
Publication Date: 2020/04/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2019EDL8146
Type of Manuscript: LETTER
Category: Artificial Intelligence, Data Mining
malware detection,  deep learning,  binary image,  

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We propose an effective 2d image based end-to-end deep learning model for malware detection by introducing a black & white embedding to reserve bit information and adapting the convolution architecture. Experimental results show that our proposed scheme can achieve superior performance in both of training and testing data sets compared to well-known image recognition deep learning models (VGG and ResNet).